Data Analyst

Description

Job Description Comcast is expanding an enterprise Business Intelligence team, including advanced analytics across multiple large data sets. The role of the Data Quality Analyst is to ensure the quality and completeness of data across various business systems as they are managed in our enterprise systems. This position will be responsible for creating requirements for data quality checks, validating results and triaging the issues, creating dashboards and scorecards for monitoring operational metrics, and supporting other operational functions. This is an analytical and technical role. The pace is challenging but realistic.
Main responsibilities will be Data Profiling Profile files and databases, identify business rules and requirements for ingestion and processing of data
Apply Analytical insights to the data, and perform time trending analytic reports
Calculate various dimensions on data like Standard Deviation, Percentile calculations, Moving Averages to identify pattern of data
Identify and define validation and monitoring logic to ensure that data anomalies are detected and contained within thresholds
Identify patterns, trends and inconsistencies; draw conclusions and provide recommendations in the form of remediation, corrective (CARs) and preventative (PAR) actions.
Stakeholder Engagement capture business rules and filtering unique to data use and business decision making
Technical Writing requirements, event summaries and recommendations (etc.)
Process Modelling
Knowledge and Skills Knowledge of tools to query and manipulate data in varying file formats
Knowledge of referential and large data formats and file structures
Ability to apply the principles of data quality standards
Knowledge of databases, included big data technologies
Knowledge of programming and software development lifecycle (SDLC)
Exposure to agile development methodology
Convey complex technical issues/problems to programmers in a clear/concise manner
Ability to convey complex concepts to business stakeholders in terms relevant to the business
Excellent written and verbal communications skills
Excellent data analysis skill and understanding of Statistical measures
Organized, structured, methodical
Analytical with strong problem solving ability
Strong prioritization and time management skills
Ability to design and implement operational metrics Scorecards
Dashboards
Thresholds
Experience Ability to write moderately complex SQL queries, PL/SQL a plus
Knowledge of account, device, service, operations and marketing domains
Exposure to the following a plus Hortonworks, Hadoop, Teradata
Exposure to the following a plus Informatica, Tableau, Metric Insights